Retrieval quality is becoming the defining challenge in AI agent architecture

Many failures in AI agents stem from poor context retrieval, not LLM errors. Retrieval quality is emerging as the primary bottleneck in agent performance. The article highlights the importance of building high-quality context for agentic systems.